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Related Experiment Videos

Utkin et al.'s dataset on specific leaf area.

Anatoly Utkin1, Lyudmila Ermolova1, Irina Utkina1

  • 1Institute of Forest Science, Russian Academy of Sciences, Uspenskoe, Russia.

Ecology
|April 6, 2022
PubMed
Summary

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This study makes Specific Leaf Area (SLA) data accessible by translating a Russian dataset. This enhances ecological research on plant growth strategies and environmental responses.

Area of Science:

  • Plant Ecology
  • Trait-based Ecology
  • Forest Ecology

Background:

  • Specific Leaf Area (SLA) is crucial for understanding plant growth strategies and environmental adaptation.
  • Existing SLA data is limited in certain plant groups and regions, hindering comprehensive ecological research.
  • A significant Russian dataset on forest plant SLA remained largely inaccessible to the international scientific community.

Purpose of the Study:

  • To translate and digitize the comprehensive Russian dataset 'Surface areas of forest plants' to increase global accessibility.
  • To provide a valuable resource for trait-based ecological analyses and studies on plant responses to environmental changes.
  • To fill critical data gaps in Specific Leaf Area (SLA) information for gymnosperm species.

Main Methods:

Keywords:
1918-2006datasetgloballeafspecific leaf areatrait

Related Experiment Videos

  • Translation of the Russian publication 'Surface areas of forest plants' (Utikin et al., 2008).
  • Digitization of Specific Leaf Area (SLA) values for approximately 1100 gymnosperm species.
  • Compilation of associated data including genera, families, SLA ranges, and responses to illumination.

    • Main Results:

    • A digitized dataset of Specific Leaf Area (SLA) values for ~1100 gymnosperm species, spanning 562 genera and 139 families.
    • Inclusion of historical SLA data collected between 1918 and 2006.
    • Supplementary information on SLA ranges and environmental responses, along with ~200 references.

    Conclusions:

    • The translated and digitized dataset significantly expands the availability of Specific Leaf Area (SLA) data for ecological research.
    • This resource facilitates trait-based analyses and comparative studies across diverse gymnosperm lineages.
    • The data is freely available for research and educational purposes, promoting wider scientific collaboration.